Conservative Offline Distributional Reinforcement Learning

Conservative Offline Distributional Reinforcement Learning

12 July 2021

Yecheng Jason Ma

Dinesh Jayaraman

Papers citing "Conservative Offline Distributional Reinforcement Learning"

17 / 17 papers shown

Title
ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning Kun Wu Yinuo Zhao Z. Xu Zhengping Che Chengxiang Yin C. Liu Qinru Qiu Feiferi Feng OffRL 100 1 0 22 Dec 2024
Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown Xingzhou Lou Dong Yan Wei Shen Yuzi Yan Jian Xie Junge Zhang 45 22 0 01 Oct 2024
The Central Role of the Loss Function in Reinforcement Learning Kaiwen Wang Nathan Kallus Wen Sun OffRL 48 7 0 19 Sep 2024
Enhanced Safety in Autonomous Driving: Integrating Latent State Diffusion Model for End-to-End Navigation Detian Chu Linyuan Bai Jianuo Huang Zhenlong Fang Peng Zhang Wei Kang Haifeng Lin 30 2 0 08 Jul 2024
CDSA: Conservative Denoising Score-based Algorithm for Offline Reinforcement Learning Zeyuan Liu Kai Yang Xiu Li OffRL 44 0 0 11 Jun 2024
Multi-agent Reinforcement Learning: A Comprehensive Survey Dom Huh Prasant Mohapatra AI4CE 30 8 0 15 Dec 2023
Zero-Shot Reinforcement Learning from Low Quality Data Scott Jeen Tom Bewley Jonathan M. Cullen OffRL OnRL 36 0 0 26 Sep 2023
JoinGym: An Efficient Query Optimization Environment for Reinforcement Learning Kaiwen Wang Junxiong Wang Yueying Li Nathan Kallus Immanuel Trummer Wen Sun GP 44 2 0 21 Jul 2023
Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning Marcel Hussing Jorge Armando Mendez Mendez Anisha Singrodia Cassandra Kent Eric Eaton OffRL 29 5 0 13 Jul 2023
Is Risk-Sensitive Reinforcement Learning Properly Resolved? Ruiwen Zhou Minghuan Liu Kan Ren Xufang Luo Weinan Zhang Dongsheng Li 19 2 0 02 Jul 2023
Distributional Offline Policy Evaluation with Predictive Error Guarantees Runzhe Wu Masatoshi Uehara Wen Sun OffRL 33 13 0 19 Feb 2023
Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR Kaiwen Wang Nathan Kallus Wen Sun 101 18 0 07 Feb 2023
Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability Whiyoung Jung Myungsik Cho Jongeui Park Young-Jin Sung 25 4 0 28 Nov 2022
Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning Adam R. Villaflor Zheng Huang Swapnil Pande John M. Dolan J. Schneider OffRL 25 23 0 21 Jul 2022
Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching Yecheng Jason Ma Andrew Shen Dinesh Jayaraman Osbert Bastani OffRL 23 32 0 04 Feb 2022
Compressive Features in Offline Reinforcement Learning for Recommender Systems Hung Nguyen Minh Nguyen Long Pham Jennifer Adorno Nieves OffRL 8 2 0 16 Nov 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 340 1,955 0 04 May 2020